Introduction to Machine Learning

Third-cycle level | 1.5 credits (HEC) | Course code: C6F5650
HT 2025
Study period: 2025-09-22 - 2025-09-26
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2025-04-15 - 2025-05-06
+

Course description

The purpose of this course is to give an introduction to machine learning without heavy-mathematics. A main focus is on machine learning algorithms for regression analyses using large datasets, both in terms of the number of variables observed and/or the number of units (sample size).

Please note location for the course! Click on the plus sign (+) for the course occasion to see full information.

Prerequisites and Selection

Prerequisite courses, or equivalent

Biostatistics I and Biostatistics II or corresponding courses.

Selection

Selection will be based on:  
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation). 
2) start date of doctoral studies (priority given to earlier start date). 

Prior knowledge in any software, e.g. Stata, R or SAS is strongly recommended.

Course director

Course director is Anita Berglund, anita.berglund@ki.se
Course leader is Professor Xavier de Luna, Umeå University

Course syllabus

C6F5650

Department

Institute of Environmental Medicine

Doctoral programme

Epidemiology

Type of course

**Other course

Keywords

Machine learning

CONTACTJohanna Bergman

johanna.bergman@ki.se